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Subsequently, by using the most predictive parameters, to develop a hierarchical model by subdividing vitrified/warmed blastocysts into categories with different implantation potentials.
We thus performed a stepwise logistic regression to select the most predictive parameters, and their potential interactions.
Spike frequency, amplitude, duration, threshold and after hyperpolarization were found to be the most predictive parameters for electrical maturity.
One to two euploid blastocysts within the most predictive parameters were selected for transfer to individual patients according to the patient's age and clinical indications on day 6.
In the time-lapse system group, the morphokinetic markers within the most predictive parameters were the secondary criterion for selection when multiple euploid blastocysts were recognized from individual patients.
When multiple euploid blastocysts were recognized from individual patients, the morphokinetic markers were the secondary criterion for selection according to the most predictive parameters that are highly correlated with implantation as described elsewhere [ 26, 34].
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The most predictive parameter of 20%% variation in RBF issued from the Doppler was the variation in diastolic velocity, but the AUC was poor (0.75) [40.75
Urine NGAL at 12 h postsurgery was the most predictive parameter for the diagnosis of AKI (cutoff, 92.85 ng/mL).
CD8+ T-cell density within the initially infected region was the most predictive parameter of episode peak viral load and duration.
Tumour phenotype was identified as the most predictive parameter to discriminate between tumour samples with EGFR and/or ErbB2 overexpression and without EGFR and ErbB2 overexpression (β=18.039; P=0.038).
As expected, we found that urine NGAL obtained at 12 h postsurgery was the most predictive parameter for the detection of AKI, with a cutoff value of 92.85 ng/mL.
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